marginmatrix function

Marginplot Matrix

Create a scatterplot matrix with information about missing/imputed values in the plot margins of each panel.

marginmatrix(
  x,
  delimiter = NULL,
  col = c("skyblue", "red", "red4", "orange", "orange4"),
  alpha = NULL,
  ...
)

Arguments

• x: a matrix or data.frame.
• delimiter: a character-vector to distinguish between variables and imputation-indices for imputed variables (therefore, x needs to have colnames()). If given, it is used to determine the corresponding imputation-index for any imputed variable (a logical-vector indicating which values of the variable have been imputed). If such imputation-indices are found, they are used for highlighting and the colors are adjusted according to the given colors for imputed variables (see col).
• col: a vector of length five giving the colors to be used in the marginplots in the off-diagonal panels. The first color is used for the scatterplot and the boxplots for the available data, the second/fourth color for the univariate scatterplots and boxplots for the missing/imputed values in one variable, and the third/fifth color for the frequency of missing/imputed values in both variables (see Details ). If only one color is supplied, it is used for the bivariate and univariate scatterplots and the boxplots for missing/imputed values in one variable, whereas the boxplots for the available data are transparent. Else if two colors are supplied, the second one is recycled.
• alpha: a numeric value between 0 and 1 giving the level of transparency of the colors, or NULL. This can be used to prevent overplotting.
• ...: further arguments and graphical parameters to be passed to pairsVIM() and marginplot(). par("oma") will be set appropriately unless supplied (see graphics::par()).

Details

marginmatrix uses pairsVIM() with a panel function based on marginplot().

The graphical parameter oma will be set unless supplied as an argument.

Examples

data(sleep, package = "VIM")
## for missing values
x <- sleep[, 1:5]
x[,c(1,2,4)] <- log10(x[,c(1,2,4)])
marginmatrix(x)

## for imputed values
x_imp <- kNN(sleep[, 1:5])
x_imp[,c(1,2,4)] <- log10(x_imp[,c(1,2,4)])
marginmatrix(x_imp, delimiter = "_imp")

References

M. Templ, A. Alfons, P. Filzmoser (2012) Exploring incomplete data using visualization tools. Journal of Advances in Data Analysis and Classification, Online first. DOI: 10.1007/s11634-011-0102-y.

See Also

marginplot(), pairsVIM(), scattmatrixMiss()

Other plotting functions: aggr(), barMiss(), histMiss(), marginplot(), matrixplot(), mosaicMiss(), pairsVIM(), parcoordMiss(), pbox(), scattJitt(), scattMiss(), scattmatrixMiss(), spineMiss()

Author(s)

Andreas Alfons, modifications by Bernd Prantner